code: def test_should_stop_triggers_validation_once(
      min_epochs, min_steps, val_count, tmp_path
  ):
      """Regression test for issue #15708.
  
      Test that the request for `should_stop=True` only triggers validation when Trainer is allowed to stop
      (min_epochs/steps is satisfied).
  
      """
      model = BoringModel()
      trainer = Trainer(
          default_root_dir=tmp_path,
          num_sanity_val_steps=0,
          limit_val_batches=2,
          limit_train_batches=2,
          max_epochs=3,
          min_epochs=min_epochs,
          min_steps=min_steps,
          enable_model_summary=False,
          enable_checkpointing=False,
      )
      trainer.should_stop = True  # Request to stop before min_epochs/min_steps are reached
      trainer.fit_loop.epoch_loop.val_loop.run = Mock()
      trainer.fit(model)
      assert (
          trainer.fit_loop.epoch_loop.val_loop.run.call_count
          == val_count
      )
  
file_path: pytorch-lightning/tests/tests_pytorch/loops/test_training_epoch_loop.py
imports: import logging
  from unittest.mock import Mock, patch
  import pytest
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.trainer.trainer import Trainer
label_desc: Use image node_id 3 for calling a global function with example usage: test_should_stop_triggers_validation_once(min_epochs, min_steps, val_count, tmp_path) without return types